Own end-to-end delivery of data pipelines, models, and tests
Implement reusable patterns and model structures in MSSQL, dbt Cloud, and Snowflake
Monitor data quality, lineage, and job health
Collaborate cross-functionally to define scalable data solutions
Use data to drive decisions and support strategic growth objectives
Requirements
Ideally would have 4-6 years of experience.
Technical experience with Snowflake, Fivetran, dbt Cloud, MSSQL
Ability to model data using best practices
Proficiency in writing tests, implementing observability, and improving reliability
Solid documentation and technical communication skills
Hands-on experience using AI-assisted development tools (e.g., SQL/dbt copilots, LLMs for documentation, testing, or refactoring) to improve productivity and code quality
Interest in learning and adopting emerging AI capabilities within the modern data stack
Core Competencies




Demonstrates expertise in end-to-end data pipeline delivery, leveraging tools like Snowflake and dbt Cloud to implement scalable data solutions.
Proficient in data modeling, quality monitoring, and utilizing AI-assisted development tools to enhance productivity and code quality.
Highest-signal resume keywords
Snowflake
Dbt Cloud
MSSQL
Data Modeling
AI-Assisted Development Tools
Hard Skills
Data Pipeline Delivery
Data Quality Monitoring
Modeling Best Practices
Writing Tests
Implementing Observability
Soft Skills
Technical Communication
Documentation
Industry Keywords
Data Solutions
Strategic Growth Objectives
Cross-Functional Collaboration
Tools & Technologies
Fivetran
SQL/dbt Copilots
LLMs for Documentation
Testing
Refactoring
#J-*****-Ljbffr

📌 Data Engineer (Sydney)
🏢 Jobtailor
📍 Sydney